Implmeneting a Fuzzy Logic Controller to Improve the Performances of an Off-Grid Photovoltaic Generator

Chekenbah, Hamid; Choukri, Larbi; Lasri, Rafik; Maataoui, Yassir; Zouiten, Mohammed

doi:10.1109/icocs.2019.8930760

Cited by 2 publications

(1 citation statement)

References 21 publications

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“…The DC-DC converter is an important component in the electronic domain, its part is to transfer a DC voltage into a same type voltage but with a different level [10]. Figure 6 presents the equivalent circuit of a boost converter [11].…”

Section: Modeling Of a Boost Convertermentioning

confidence: 99%

Design of a Particle Swarm Optimized Photovoltaic system during various partial shading conditions

et al. 2022

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This work discusses an enhanced photovoltaic system using the Particle Swarm Optimization algorithm. The proposed method has been evaluated under several scenarios of partial shading, and the results obtained are contrasted with the Perturb and Observe technique. Hence, it has shown its effectiveness in locating the global maximum power point whatever the meteorological conditions, especially in inhomogeneous conditions. This technique makes it possible to enhance the effectiveness of the photovoltaic system studied because it makes it possible to minimize the loss of power in the case of non-homogeneous irradiation conditions.

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Section: Modeling Of a Boost Convertermentioning

confidence: 99%

Design of a Particle Swarm Optimized Photovoltaic system during various partial shading conditions

et al. 2022

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Application of an adaptive fuzzy logic controller to optimize the performances of the P&O algorithm

Chekenbah

Maataoui

Lasri

et al. 2021

IOP Conf. Ser.: Mater. Sci. Eng.

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In this work, an Adaptive Fuzzy Logic Controller is studied to optimize the transfer of the power provided by a photovoltaic generator. The adaptation process is carried out online in two tasks: the adaptation of the rules consequences and the self-organization of the internal structure of the Fuzzy Controller. In comparison with two types of traditional controls, the performance of the controller studied is validated. The simulation results show that the controller studied makes it possible to reduce the response time by 3 % compared to the conventional controller, and minimizes the steady-state error by eliminating the phenomenon of oscillation around the PPM and that the proposed controller exhibits good behavior with a wide range of power.

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Implmeneting a Fuzzy Logic Controller to Improve the Performances of an Off-Grid Photovoltaic Generator

Cited by 2 publications

References 21 publications

Design of a Particle Swarm Optimized Photovoltaic system during various partial shading conditions

Design of a Particle Swarm Optimized Photovoltaic system during various partial shading conditions

Application of an adaptive fuzzy logic controller to optimize the performances of the P&O algorithm

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